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Intelligent Machine Systems Lab
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The lab studies robots that drive themselves through everyday environments, and the development of intelligence in machines.
AboutAbout the lab
Making machines move well in any situation
The Intelligent Machine Systems Lab researches how to make machines move appropriately according to the situation.
The approach is closer to how a person operates a machine than to the control theory taught in lectures.
The lab deals with environment perception, model building, and motion planning, aiming for machines that keep working reliably even when sensor information contains errors.
The lab develops autonomous mobile robots that run in everyday indoor and outdoor settings, and takes part in the Tsukuba Challenge.
Key terms
- Autonomous mobile robot
- A robot that moves to a destination on its own, observing its surroundings, without being operated by a person
- Environment perception
- The process by which a robot determines what is around it from information captured by sensors
- RTK-GNSS
- A mechanism that measures position with high accuracy by combining satellite signals with correction data
NewsLab news
Students received the Hatakeyama Award from the Japan Society of Mechanical Engineers and the Dean's Award from the Faculty of Engineering
The lab's robot completed the optional task in the main run of the Tsukuba Challenge
ResearchResearch themes
Broadly speaking, the lab researches how to make machines move appropriately according to the situation. It deals with elements such as environment perception, model building, and motion planning, and studies intelligence technologies using machine learning, optimization methods, and probabilistic methods so that machines keep working reliably even when sensor information contains errors caused by the environment.
*Illustrative imageAutonomous Mobile Robots
The lab studies robots that operate in the everyday indoor and outdoor environments where people live. Indoors, where position cannot be measured directly, the robot builds a map and estimates its position on it. Outdoors, to run on sidewalks that have no guides such as white lines, the lab combines RTK-GNSS with map-based localization depending on the environment and purpose.
*Illustrative imageIntelligence Technologies
The lab works broadly with intelligence technologies, from long-established optimization methods to machine learning and deep learning. Rather than simply taking and using pretrained models, the lab creates its own training data and trains models for each application. So far, it has worked on detecting construction signs and detecting blocks hidden in grass.
*Illustrative image"Innovative" Food Robotics Joint Research Course
This is a joint research course established by Chiba University and Mayekawa Mfg. Co., Ltd. in April 2024, and Associate Professor Okawa is also a member of the course. For food manufacturing and processing, which involve a lot of manual work and where automation has lagged behind, the course brings together the university's technologies in robot control, recognition, and AI to carry out research and development.
MembersFaculty
The members of the Intelligent Machine Systems Lab are faculty members and master's and undergraduate students.As of 2026
- Associate ProfessorKazuya Okawa
- Project Assistant ProfessorKoji Kashiwazaki
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “100 9640” ytiugibma / Public domain (cropped)
- Autonomous Mobile Robots: “Vandalized-Avride-delivery-robot-on-the-streets-of-Philadelphia” Aluminum-001 / CC BY 4.0 (cropped)
- Intelligence Technologies: “Artificial Intelligence (AI) and Robotics exhibition at the Heinz Nixdorf MuseumsForum” Sergei Magel/HNF / CC BY-SA 4.0 (cropped)
- "Innovative" Food Robotics Joint Research Course: “UR16e robot arm” Auledas / CC BY-SA 4.0 (cropped)
- Related lab (Yu Lab): “043 MNACTEC (Terrassa), exposició temporal Robots, àmbit dels robots humanoides” Enric / CC BY-SA 4.0 (cropped)
- Related lab (Autonomous Control Systems Lab): “DJI Mavic 4 Pro Drone in Flight Napeague New York” Hayden Soloviev / CC BY 4.0 (cropped)
- Related lab (Systems and Control Lab): “HQ-90 aircraft arrived and assembled at NASA’s Armstrong Flight Research Center (AFRC )” NASA Armstrong Flight Research Center / NASA/Ken Ulbrich / Public domain (cropped)
- Related lab (Biomechanics Lab): “Belgrad - Museum of Science and Technology - Electron microscope ARL” Александр Сигачёв / CC0 (cropped)
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